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Llama 3.1 405B Instruct by meta-llama

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Model Card on HF 🤗: https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct 

Llama 3.1 405B Instruct Benchmarks

LLME Score: 0.38861
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 405B Instruct (meta-llama/Llama-3.1-405B-Instruct)

Llama 3.1 405B Instruct Parameters and Internals

Model Type 
text-generation, multilingual
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation tasks, synthetic data generation
Primary Use Cases:
multilingual dialogue
Limitations:
not for use beyond 8 supported languages without fine-tuning and compliance with terms
Considerations:
ensure safety in additional languages
Additional Notes 
Used for commercial and research purposes. Regular updates to improve model safety with community feedback.
Supported Languages 
English (full), German (full), French (full), Italian (full), Portuguese (full), Hindi (full), Spanish (full), Thai (full)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15 trillion tokens
Methodology:
supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
128000
Training Time:
39.3M GPU hours
Hardware Used:
custom built GPU cluster, H100-80GB
Model Architecture:
optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, risk assessments, evaluation datasets
Findings:
some safety risks identified and mitigated
Risk Categories:
misinformation, cyber threats, child safety
Ethical Considerations:
engagement strategies with subject-matter experts for real-world harms
Responsible Ai Considerations 
Fairness:
efforts to mitigate bias through multi-faceted data collection approach
Transparency:
part of an open community for AI safety progress
Accountability:
use of output reporting mechanism
Mitigation Strategies:
adopting MLCommons taxonomy, employing numerous safety guardrails
Input Output 
Input Format:
multilingual text
Accepted Modalities:
text
Output Format:
multilingual text and code
Performance Tips:
Follow the Responsible Use Guide
Release Notes 
Version:
3.1
Date:
2024-07-23
Notes:
Enhancements for multilingual dialogue, improved benchmarks results.
LLM NameLlama 3.1 405B Instruct
Repository 🤗https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct 
Base Model(s)  meta-llama/Meta-Llama-3.1-405B   meta-llama/Meta-Llama-3.1-405B
Model Size405b
Required VRAM183.1 GB
Updated2024-12-21
Maintainermeta-llama
Model Typellama
Instruction-BasedYes
Model Files  4.8 GB: 1-of-191   4.0 GB: 2-of-191   4.6 GB: 3-of-191   4.6 GB: 4-of-191   3.5 GB: 5-of-191   4.6 GB: 6-of-191   4.6 GB: 7-of-191   3.5 GB: 8-of-191   4.6 GB: 9-of-191   4.6 GB: 10-of-191   3.5 GB: 11-of-191   4.6 GB: 12-of-191   4.6 GB: 13-of-191   3.5 GB: 14-of-191   4.6 GB: 15-of-191   4.6 GB: 16-of-191   3.5 GB: 17-of-191   4.6 GB: 18-of-191   4.6 GB: 19-of-191   3.5 GB: 20-of-191   4.6 GB: 21-of-191   4.6 GB: 22-of-191   3.5 GB: 23-of-191   4.6 GB: 24-of-191   4.6 GB: 25-of-191   3.5 GB: 26-of-191   4.6 GB: 27-of-191   4.6 GB: 28-of-191   3.5 GB: 29-of-191   4.6 GB: 30-of-191   4.6 GB: 31-of-191   3.5 GB: 32-of-191   4.6 GB: 33-of-191   4.6 GB: 34-of-191   3.5 GB: 35-of-191   4.6 GB: 36-of-191   4.6 GB: 37-of-191   3.5 GB: 38-of-191   4.6 GB: 39-of-191   4.6 GB: 40-of-191   3.5 GB: 41-of-191   4.6 GB: 42-of-191   4.6 GB: 43-of-191
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Llama-3.1-405B-Instruct.

Rank the Llama 3.1 405B Instruct Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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